Adaptive dynamic inferential analytic stationary subspace analysis: A novel method for fault detection in blast furnace ironmaking process-Reference-Cited by-同舟云学术

Adaptive dynamic inferential analytic stationary subspace analysis: A novel method for fault detection in blast furnace ironmaking process

Published:2023-09 Issue: Volume:642 Page:119176
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Lou Siwei^ORCID,Yang Chunjie,Zhu Xiongzhuo,Zhang Hanwen,Wu Ping

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

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3. One-Sided Relational Autoencoder With Seasonal-Trend Decomposition to Extract Process Correlations for Molten Iron Quality Prediction;IEEE Transactions on Instrumentation and Measurement;2024

4. Blast Furnace Ironmaking Process Monitoring With Time-Constrained Global and Local Nonlinear Analytic Stationary Subspace Analysis;IEEE Transactions on Industrial Informatics;2023